Generative AI Engineer

Job Profile

Prompt Engineer

This is an exciting opportunity to shape the future of AI implementation, develop reusable prompt frameworks, and make a measurable impact on how businesses leverage AI technology.

Typical work week looks like:

• Prompt Development & Optimization

  : Design, test, and refine prompts for various LLM applications, ensuring high-quality, accurate, and contextually relevant outputs

• Stakeholder Collaboration:

  Work closely with product managers, domain experts, and clients to understand business requirements and translate them into effective LLM solutions

• Framework Development:

  Contribute to building scalable prompt engineering frameworks and libraries that promote reusability across multiple projects and use cases.

• Integration Support:

  Collaborate with software development teams to seamlessly integrate LLM capabilities into applications and workflows.

• Performance Analysis:

  Continuously monitor, evaluate, and improve prompt performance based on user feedback and output quality metrics.

• Innovation & Research:

  Stay current with latest developments in LLM technology, prompt engineering techniques, and AI best practices.

• Documentation:

  Create comprehensive documentation of prompt patterns, best practices, and use case implementations to build organizational knowledge

Our ideal candidate should have-

● Preferred Qualifications

○ Master's degree in Computer Science, Data Science, AI/ML, or related field

○ Experience with machine learning frameworks (PyTorch, TensorFlow) and data processing libraries (Pandas, NumPy)

○ Prior work on NLP, chatbots, or conversational AI projects

○ Familiarity with RAG (Retrieval-Augmented Generation) architectures

○ Experience with version control (Git) and CI/CD pipelines

○ Knowledge of prompt engineering tools and platforms

○ Understanding of model fine-tuning and evaluation techniques

○ Experience in client-facing roles or consulting

● Core Competencies

○ AI Native: You're already using tools others haven't heard of yet

○ Prompt Engineering Mastery: Can make AI models do things others think impossible ○ Research Innovation: Constantly experimenting with new methodologies

○ Technical Agility: Quick to adopt and master emerging technologies

○ Systems Architecture: Can design complex AI workflows that scale

● Essential Skills

○ Advanced AI Tools: GPT-4, Claude 3, Gemini, Perplexity, You.com, Grok

○ AI Development: LangChain, Vector databases, Fine-tuning experience

○ Automation Platforms: Make.com, n8n, Zapier AI, Bardeen

○ Modern Analytics: AI-powered BI tools, predictive analytics platforms

○ Prompt Engineering: Chain-of-thought, few-shot learning, constitutional AI

● Mindset Requirements

○ Early adopter who's always testing beta features

○ Believes traditional research methods are outdated

○ Excited by AI capabilities others find concerning

○ Sees every new AI release as a research opportunity

○ Thrives on building what doesn't exist yet

● Technical Excellence

○ Experience with AI APIs and model deployment

○ Familiarity with vector embeddings and semantic search

○ Knowledge of prompt optimization techniques

○ Understanding of AI agents and autonomous workflows

○ Ability to evaluate and select appropriate AI models

What you can expect from ORI:

● Passion & happiness in the workplace with great people & open culture with amazing growth opportunities.

● An ecosystem where leadership is fostered which builds an environment where everyone is free to take necessary actions to learn from real experiences.

● Chance to work on the cutting edge technology, including Generative AI.

● Freedom to pursue your ideas and innovate with multiple technologies.

Shape product strategy with AI insights, build pioneering research systems, and share your innovations with the world—we’d love to hear from you!